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Correlation analysis of demographic factors on low birth we..:
, In:
2020 Fourth World Conference on Smart Trends in Systems, Security and Sustainability (WorldS4)
,
Borson, Najmus Sakib
;
Kabir, Md. Riftabin
;
Zamal, Zaisha
. - p. 169-173 , 2020
Link:
https://doi.org/10.1109/WorldS450073.2020.9210338
RT T1 <cTitle>2020 Fourth World Conference on Smart Trends in Systems, Security and Sustainability (WorldS4)</cTitle>: T1 <Title>Correlation analysis of demographic factors on low birth weight and prediction modeling using machine learning techniques</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9210338&Exemplar=1&LAN=DE A1 Borson, Najmus Sakib A1 Kabir, Md. Riftabin A1 Zamal, Zaisha A1 Rahman, Rashedur M. YR 2020 K1 Pediatrics K1 Support vector machines K1 Predictive models K1 Analytical models K1 Data models K1 Pregnancy K1 Logistics K1 low birth weight K1 demographic data K1 health survey K1 DHS program K1 machine learning K1 data mining K1 neural networks K1 classification SP 169 OP 173 LK http://dx.doi.org/https://doi.org/10.1109/WorldS450073.2020.9210338 DO https://doi.org/10.1109/WorldS450073.2020.9210338 SF ELIB - SuUB Bremen
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